hild Trends (2014), for instance,conducted a systematic literature review of different social-emotional skills andhighlighted the need for further research on the importance of the following five skills:self-control, persistence, mastery orientation, academic self-efficacy, and social compe-tence.
I feel like these are all forms of resistance capital. As much as data needs to be collected on these skills, there also needs to be data collection on historical systemic inequities.
Further-more, the availability of data alone does not ensure successful data-driven decision-making (Provost and Fawcett 2013). Consequently, there is an urgent need for furtherresearch on the use of an appropriate data-analytic thinking framework for edu
I feel like there is so much work to be done in this space. For starters, data literacy needs to be foundational in education curriculum. Also, data governance is a challenge. There is so much gatekeeping involved in data offices. Even if more educators were data literate, they may face limitations based on short sighted data policy at their campuses.
At the same time, emerging AI technologies not only pose threats but also createopportunities of producing a wide variety of data types from human interactions with theseplatforms.
Social sciences are going to play a huge role in shaping the development and evolution of AI.